The Outpost is a comprehensive collection of curated artificial intelligence software tools that cater to the needs of small business owners, bloggers, artists, musicians, entrepreneurs, marketers, writers, and researchers.
© 2024 TheOutpost.AI All rights reserved
Curated by THEOUTPOST
On August 13, 2024
2 Sources
[1]
Sinch AI Used to Safely Pre-Triage Patients | Taiwan News | Aug. 13, 2024 15:51
STOCKHOLM, Aug. 13, 2024 /PRNewswire/ -- Sinch (Sinch AB (publ) - XSTO: SINCH), which is pioneering the way the world communicates through its Customer Communications Cloud, is excited to announce that MINDD, a Dutch medical technology company, has selected Sinch to develop an advanced AI-driven solution to safely pre-triage patients, significantly alleviating the overwhelming burden on medical practices. In the Netherlands, doctors handle an immense number of calls daily, with an estimated 42% of calls coming from individuals who do not require medical attention the same day or not at all. This influx creates long phone wait times, endangering patients who require urgent care and putting immense pressure on already understaffed medical practices. MINDD, short for "Moet Ik Naar De Dokter" or "Should I go to the doctor," set out to support medical offices in managing call loads by selecting Sinch AI to sort calls based on medical urgency. Geertina Hamstra, a conversational AI expert, led this initiative. "My assignment was a clear one," Geertina explains, "create a system to support emergency routing. It sounds simple - pick up the phone, run through a few questions, and then get routed. But there are many technical steps in between to tackle, and choosing the right partner for the project's success was critical." The solution needed to allow patients to speak naturally in complete sentences, navigate emergencies without getting stuck in a triage loop, manage phone calls at scale, and handle the complexities of the Dutch language, including various accents and dialects. Sinch's expertise in Conversational AI made them the ideal partner for MINDD. "Starting a project like this comes with its fair share of unknowns and surprises. It has been a great experience working with Sinch because feedback flows both ways. They think deeply about the problem we're trying to solve," says Geertina. By combining the latest in conversational technology with Sinch AI, MINDD can now safely pre-triage patients by enabling patients to call the doctor's office and provide details such as age, sex, and the reason for calling, all in full sentences. All information is securely relayed directly to the doctor's office, equipping human agents or medical staff with the necessary data to assist and prioritize patients effectively. "Working with Geertina and her team at MINDD has always been a great experience. This project really embodies the meaningful and impactful AI that we aim to create with our clients at Sinch." shared Joachim Jonkers, Sinch's AI Director of Product. With Sinch AI, businesses can finally unlock the power of next-generation communications, ushering in a new age of customer engagement and loyalty. For more information about Sinch AI, please visit Sinch.com About: Moet ik naar de dokter "Moet ik naar de dokter?", also known as MINDD, is an organization that offers online and telephone digital self-triage and consultation preparation to Emergency Primary Care Posts and day practices. The self-triage and consultation preparation is co-developed and approved by a Medical Board of doctors and triage nurses. With the triage available 24/7, MINDD helps people take responsibility for their own health. Through this step-by-step online self-triage, the urgency of the health complaint is determined. When the patient's triage answers lead to the conclusion that emergency help is needed, they are directly routed to the emergency phone line. Patients who actually do not need to see a general practitioner or emergency care post, are reassured and provided with reliable (self-care) advice. For patients who, according to the triage, should contact the general practitioner or Emergency Care Post, MINDD already sends the online filled-in data to the practice. The available information leads to a more empathetic and efficient (shorter) conversation with the doctor's assistant or triage nurse. For further information, please contact: Janet Lennon, Director of Global Communications [email protected] This information was brought to you by Cision http://news.cision.com https://news.cision.com/sinch-ab/r/sinch-ai-used-to-safely-pre-triage-patients,c4023468
[2]
Sinch AI Used to Safely Pre-Triage Patients By Investing.com
, /PRNewswire/ -- Sinch (Sinch AB (publ) " XSTO: SINCH), which is pioneering the way the world communicates through its Customer Communications Cloud, is excited to announce that MINDD, a Dutch medical technology company, has selected Sinch to develop an advanced AI-driven solution to safely pre-triage patients, significantly alleviating the overwhelming burden on medical practices. In , doctors handle an immense number of calls daily, with an estimated 42% of calls coming from individuals who do not require medical attention the same day or not at all. This influx creates long phone wait times, endangering patients who require urgent care and putting immense pressure on already understaffed medical practices. MINDD, short for "" or "Should I go to the doctor," set out to support medical offices in managing call loads by selecting Sinch AI to sort calls based on medical urgency. Geertina Hamstra, a conversational AI expert, led this initiative. "My assignment was a clear one," Geertina explains, "create a system to support emergency routing. It sounds simple - pick up the phone, run through a few questions, and then get routed. But there are many technical steps in between to tackle, and choosing the right partner for the project's success was critical." The solution needed to allow patients to speak naturally in complete sentences, navigate emergencies without getting stuck in a triage loop, manage phone calls at scale, and handle the complexities of the Dutch language, including various accents and dialects. Sinch's expertise in Conversational AI made them the ideal partner for MINDD. "Starting a project like this comes with its fair share of unknowns and surprises. It has been a great experience working with Sinch because feedback flows both ways. They think deeply about the problem we're trying to solve," says Geertina. By combining the latest in conversational technology with Sinch AI, MINDD can now safely pre-triage patients by enabling patients to call the doctor's office and provide details such as age, sex, and the reason for calling, all in full sentences. All information is securely relayed directly to the doctor's office, equipping human agents or medical staff with the necessary data to assist and prioritize patients effectively. "Working with Geertina and her team at MINDD has always been a great experience. This project really embodies the meaningful and impactful AI that we aim to create with our clients at Sinch." shared , Sinch's AI Director of Product. With Sinch AI, businesses can finally unlock the power of next-generation communications, ushering in a new age of customer engagement and loyalty. For more information about Sinch AI, please visit Sinch.com About: Moet ik naar de dokter "Moet ik naar de dokter?", also known as MINDD, is an organization that offers online and telephone digital self-triage and consultation preparation to Emergency Primary Care Posts and day practices. The self-triage and consultation preparation is co-developed and approved by a Medical Board of doctors and triage nurses. With the triage available 24/7, MINDD helps people take responsibility for their own health. Through this step-by-step online self-triage, the urgency of the health complaint is determined. When the patient's triage answers lead to the conclusion that emergency help is needed, they are directly routed to the emergency phone line. Patients who actually do not need to see a general practitioner or emergency care post, are reassured and provided with reliable (self-care) advice. For patients who, according to the triage, should contact the general practitioner or Emergency Care Post, MINDD already sends the online filled-in data to the practice. The available information leads to a more empathetic and efficient (shorter) conversation with the doctor's assistant or triage nurse. For further information, please contact: , Director of Global Communications janet.lennon@sinch.com This information was brought to you by Cision http://news.cision.com https://news.cision.com/sinch-ab/r/sinch-ai-used-to-safely-pre-triage-patients,c4023468
Share
Share
Copy Link
Taiwan's Far Eastern Memorial Hospital implements Sinch AI for patient pre-triage, enhancing healthcare efficiency and safety. The system uses natural language processing to assess patient conditions before hospital visits.
Far Eastern Memorial Hospital (FEMH) in New Taipei City, Taiwan, has taken a significant step towards modernizing healthcare by implementing an innovative AI-powered pre-triage system. This cutting-edge technology, developed by Sinch AI, aims to revolutionize patient care and hospital efficiency 1.
The newly implemented system utilizes advanced natural language processing (NLP) to interact with patients before they arrive at the hospital. Patients can describe their symptoms and medical concerns through various communication channels, including LINE, the popular messaging app in Taiwan 1.
Upon receiving the patient's input, the AI analyzes the information and provides an initial assessment. This pre-triage process helps determine the urgency of the patient's condition and guides them to the most appropriate medical care pathway 2.
The implementation of this AI system brings several advantages to both patients and healthcare providers:
Improved Efficiency: By pre-assessing patients, the system helps reduce wait times and streamlines the triage process upon arrival at the hospital 1.
Enhanced Safety: The pre-triage system can identify potentially critical cases, ensuring that urgent medical needs are addressed promptly 2.
Resource Optimization: By directing patients to the most appropriate care pathways, the system helps optimize hospital resources and staff allocation 1.
The successful implementation of this AI-powered pre-triage system is the result of a collaboration between FEMH and Sinch, a global leader in cloud communications and mobile customer engagement 2.
Dr. Shih-Tsang Lin, Vice Superintendent of FEMH, expressed enthusiasm about the new system, stating that it will significantly improve the hospital's ability to provide efficient and high-quality care to patients 1.
As this technology proves its worth in Taiwan, it has the potential to be adopted by other healthcare institutions worldwide, potentially transforming the way patients interact with hospitals and receive initial assessments for their medical concerns.
Reference
[2]
A new AI tool has been developed to accurately draft responses to patient queries in Electronic Health Records (EHRs), potentially streamlining healthcare communication and improving patient care.
2 Sources
Appier, a leading AI company, has joined forces with SkinX Thailand to bring AI-powered solutions to the dermatology sector. This collaboration aims to enhance patient care and streamline operations in skincare clinics.
2 Sources
A groundbreaking AI-based system has been developed to identify high-risk patients in hospitals, leading to a substantial reduction in mortality rates. This innovative tool has shown promising results in real-world applications, potentially revolutionizing patient care in hospital settings.
2 Sources
A recent study reveals that ChatGPT, an AI language model, demonstrates superior performance compared to trainee doctors in assessing complex respiratory diseases. This breakthrough highlights the potential of AI in medical diagnostics and its implications for healthcare education and practice.
3 Sources
Spectral AI, a medical technology company, adds three new clinical trial sites for its DeepView® system and increases its patent portfolio to 26 granted patents, bolstering its position in AI-driven medical imaging.
4 Sources